!["The Invisible Future of Health Monitoring" - PHIND & CDH Seminar @ Zoom - See Description for Zoom Link](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/June-23rd-webinar-external-calendar-tile-01-300x205.png)
PHIND & CDH Seminar: “The Invisible Future of Health Monitoring”
Join Stanford CDH and PHIND on Wednesday, June 23rd at 3:15 PM PDT to hear some of the industry’s leading experts talk about embedded sensors, longitudinal data collection, the future of remote monitoring, and real-world applications of precision health technologies. The panel will feature: Nicolas Genain, MS, Withings; John O Moore MD, PhD, Fitbit Health Solutions at Google; Pablo Paredes, PhD, MBA, MS, Stanford University; and Michael Synder, PhD, Stanford University. The discussion will be moderated by Jun (Alex) Gao, MS, Samsung America.
Zoom Webinar Details
Webinar URL: https://stanford.zoom.us/s/96984014176
Dial: US: +1 650 724 9799 or +1 833 302 1536 (Toll Free)
Webinar ID: 969 8401 4176
Passcode: 375941
3:15pm – 4:15pm: Panel Discussion
RSVP Here
Sponsored by the PHIND Center and Center for Digital Health
![Radiology-Wide Research Conference @ Zoom – Details can be found here: https://radresearch.stanford.edu](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2021/07/RWRC-July-300x195.jpeg)
Radiology Department-Wide Research Meeting
• Research Announcements
• Mirabela Rusu, PhD – Learning MRI Signatures of Aggressive Prostate Cancer: Bridging the Gap between Digital Pathologists and Digital Radiologists
• Akshay Chaudhari, PhD – Data-Efficient Machine Learning for Medical Imaging
Location: Zoom – Details can be found here: https://radresearch.stanford.edu
Meetings will be the 3rd Friday of each month.
Hosted by: Kawin Setsompop, PhD
Sponsored by: the the Department of Radiology
![PHIND Seminar - Alberto Salleo, Ph.D. @ Zoom - See Description for Zoom Link](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/alberto-salleo_profilephoto-300x300.jpg)
PHIND Seminar Series: Plastic-based sensors for wearable technologies: fundamentals and applications
Alberto Salleo, Ph.D.
Professor of Material Sciences and Engineering
Stanford University
Zoom Webinar Details
Webinar URL: https://stanford.zoom.us/s/92646686705
Dial: US: +1 650 724 9799 or +1 833 302 1536 (Toll Free)
Webinar ID: 926 4668 6705
Passcode: 270341
11:00am – 12:00pm Seminar & Discussion
RSVP Here
ABSTRACT
The continuous monitoring of human health can greatly benefit from devices that can be worn comfortably or seamlessly integrated in household objects, constituting “health-centered” domotics. One of the key aspects for these devices to be successful is to be invisibly integrated and disappear in the background of our lives. Our group works on thin film devices made with plastic materials that can be used for electrochemically sensing of common analytes from easily accessible bodily fluids (e.g. sweat, saliva, urine) and can be easily multiplexed. I will describe electrochemical transistors that detect ionic species either directly present in body fluids or resulting from a selective enzymatic reaction (e.g. ammonia from creatinine) at physiological levels. I will also show that non-charged molecules can be detected by making use of custom-processed polymer membranes that act as “synthetic enzymes”. Using these membranes in conjunction with electrochemical transistors we demonstrate that we are able to measure physiological levels of cortisol in real human sweat. Importantly, transistors can amplify signals and I will show what architectures must be used to observe 1000x amplification of sensing currents.
Finally we have developed a process that allows us to fabricate sensor arrays on flexible substrates thereby opening the door towards ultra-thin, flexible sensor arrays for wearable technologies.
ABOUT
Alberto Salleo is currently Full Professor of Materials Science and Department Chair at Stanford University. Alberto Salleo holds a Laurea degree in Chemistry from La Sapienza and graduated as a Fulbright Fellow with a PhD in Materials Science from UC Berkeley in 2001. From 2001 to 2005 Salleo was first post-doctoral research fellow and successively member of research staff at Xerox Palo Alto Research Center. In 2005 Salleo joined the Materials Science and Engineering Department at Stanford as an Assistant Professor in 2006. Salleo is a Principal Editor of MRS Communications since 2011.While at Stanford, Salleo won the NSF Career Award, the 3M Untenured Faculty Award, the SPIE Early Career Award, the Tau Beta Pi Excellence in Undergraduate Teaching Award, and the Gores Award for Excellence in Teaching, Stanford’s highest teaching award. He has been a Thomson Reuters Highly Cited Researcher since 2015, recognizing that he ranks in the top 1% cited researchers in his field.
Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology
![PHIND Seminar - Orestis Vardoulis, Ph.D. @ Zoom - See Description for Zoom Link](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/ovardoulis_hshot_1-300x300.png)
PHIND Seminar Series: Peace of mind for those affected by stroke
Orestis Vardoulis, Ph.D.
Co-Founder & CEO
ZeitMedical
Zoom Webinar Details
Webinar URL: https://stanford.zoom.us/s/94427469356
Dial: US: +1 650 724 9799 or +1 833 302 1536 (Toll Free)
Webinar ID: 944 2746 9356
Passcode: 999031
11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP Here
ABSTRACT
There is a growing population of over 10 million Americans that live with an elevated risk of having a stroke.
Each year approximately 1 million Americans survive a stroke or a ministroke, often severely affected by its debilitating effects. A more disabling stroke frequently occurs after the seminal events, leaving patients and their families scarred for life.
TIME = BRAIN. Early hospital presentation is the most critical determinant in good stroke outcomes. However, most patients arrive at the hospital often hours after the event, with less than 10% receiving any form of treatment (thrombolysis / thrombectomy).
As a result, at risk individuals struggle daily with the fear, a stroke might happen during night-time or when they are alone. Unfortunately a stroke that goes unnoticed for hours, is most often not treatable due to the lack of salvageable tissue.
To alleviate that fear, we are creating an AI-powered, smart-headband that analyzes brain waves to detect the onset of an event immediately, and alert the patient, caregivers and 911.
Our stroke detection AI has already been shown to detect ischemia during high-risk surgeries with 90% sensitivity and no false positives.
We have received FDA breakthrough designation for our solution and are currently running a pilot human factors and signal quality study.
Our vision is to provide peace of mind and optimal brain health for everyone.
ABOUT
Orestis is the CEO and Co-founder of Zeit Medical, a telehealth company that offers at home monitoring and alert solutions for patients at risk for stroke. Prior to starting Zeit, Orestis was a Stanford Biodesign Innovation Fellow where his team developed the initial idea about at-home stroke detection. Orestis trained as a Mechanical Engineer, at Aristotle University, Greece, earned his PhD in Biotechnology and Bioengineering at EPFL, Switzerland and conducted cutting edge research in flexible wearable electronics with the Bao Group at Stanford Chemical Engineering. He has authored more than twenty publications in prestigious journals and has filed for a variety of patents at the intersection of materials technology and medical devices. Orestis currently lives in San Francisco, where he also contributes to the UCSF-Stanford pediatric device consortium as a technology advisor. He also maintains close ties with the med-tech and health-tech communities in Switzerland and Greece, contributing to regional Biodesign educational workshops.
Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology
![PHIND Seminar - Sindy KY Tang, Ph.D. @ Zoom - See Description for Zoom Link](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/sindy-tang_profilephoto-300x300.jpg)
PHIND Seminar Series: Towards precision diagnostic and prediction of food allergy
Sindy KY Tang, Ph.D.
Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology – PHIND Center
Stanford University
Location: Zoom
Webinar URL: https://stanford.zoom.us/s/91932966334
Dial: US: +1 650 724 9799 or +1 833 302 1536 (Toll Free)
Webinar ID: 919 3296 6334
Passcode: 383071
11:00am – 12:00pm Seminar & Discussion
RSVP Here
ABSTRACT
Food allergy has reached epidemic proportions. Accurate in vitro methods that are efficient and easy to use to identify offending food allergens are lacking. Oral food challenge, the gold standard for food allergy assessment, is often not performed as it places the patient at risk of anaphylaxis. As such, food allergy is often identified only after an adverse reaction that could be life-threatening. Our long-term goal is to develop a food allergy diagnostic test that is accurate, safe, rapid, and accessible, so that food allergy can be easily identified prior to the occurrence of an adverse reaction, and that the efficacy of immunotherapy for food allergy can be tracked more effectively. This talk will discuss our recent work on developing such a test. Our approach is based on the Basophil Activation Test (BAT), which measures the activation of basophils in whole blood after stimulation with specific food allergens ex vivo. The BAT has been shown to be highly predictive of allergic reactions. However, the need for flow cytometry has limited its broader use. We are developing a miniaturized, standalone version of the BAT. We envision that the test can be used at the point of care, such as the doctor’s office or at a local pharmacy.
ABOUT
Prof. Sindy KY Tang is the Kenneth and Barbara Oshman Faculty Scholar and Associate Professor of Mechanical Engineering and by courtesy of Radiology (Precision Health and Integrated Diagnostics) at Stanford University. She received her Ph.D. from Harvard University in Engineering Sciences under the supervision of Prof. George Whitesides. Her lab at Stanford works on the fundamental understanding of fluid mechanics and mass transport in micro-nano systems, and the application of this knowledge towards problems in biology, rapid diagnostics for health and environmental sustainability. The current areas of focus include the flow physics of confined micro-droplets using experimental and machine learning methods, interfacial mass transport and self-assembly, and ultrahigh throughput opto-microfluidic systems for disease diagnostics, water and energy sustainability, and single-cell wound healing studies. She was a Stanford Biodesign Faculty Fellow in 2018. Dr. Tang’s work has been recognized by multiple awards including the NSF CAREER Award, 3M Nontenured Faculty Award, the ACS Petroleum Fund New Investigator Award, and invited lecture at the Nobel Symposium on Microfluidics in Sweden. Website: http://web.stanford.edu/group/tanglab/
Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology
![PHIND Seminar - Christina Curtis, Ph.D. @ Venue coming soon!](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/image.img_.320.high_-234x300.jpg)
PHIND Seminar Series: Topic TBA
Christina Curtis, Ph.D.
Associate Professor of Medicine (Oncology) and of Genetics
Stanford University
Location: Venue coming soon!
11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP coming soon!
ABSTRACT
Coming soon!
ABOUT
Coming soon!
Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology
![PHIND Seminar - Michael Eisenberg, M.D. & Gary M. Shaw, Ph.D. @ Venue coming soon!](https://web.stanford.edu/group/radweb/cgi-bin/radcalendar/wp-content/uploads/2019/10/2020.11_SpeakerMashUp-01-300x150.png)
PHIND Seminar Series: Male Infertility and the Future Risk of Vascular and CV Disease
Michael Eisenberg, M.D.
Associate Professor of Urology and, by courtesy, of Obstetrics and Gynecology
Stanford University Medical Center
Gary M. Shaw, Ph.D.
NICU Nurses Professor and Professor, by courtesy, of Health Research and Policy (Epidemiology) and of Obstetrics and Gynecology (Maternal Fetal Medicine)
Stanford University
Location: Venue coming soon!
11:00am – 12:00pm Seminar & Discussion
12:00pm – 12:15pm Reception
RSVP coming soon!
ABSTRACT
Coming soon!
ABOUT
Coming soon!
Hosted by: Garry Gold, M.D.
Sponsored by the PHIND Center and the Department of Radiology
Roxana Daneshjou, MD, PhD
Assistant Professor, Biomedical Data Science & Dermatology
Assistant Director, Center of Excellence for Precision Heath & Pharmacogenomics
Director of Informatics, Stanford Skin Innovation and Interventional Research Group
Stanford University
Title: Building Fair and Trustworthy AI for Healthcare
Abstract: AI for healthcare has the potential to revolutionize how we practice medicine. However, to do this in a fair and trustworthy manner requires special attention to how AI models work and their potential biases. In this talk, I will cover the considerations for building AI systems that improve healthcare.
Mildred Cho, PhD
Professor of Pediatrics, Center of Biomedical Ethics
Professor of Medicine, Primary Care and Population Health
Stanford University
Title: Facilitating Patient and Clinician Value Considerations into AI for Precision Medicine
Abstract:
For the development of ethical machine learning (ML) for precision medicine, it is essential to understand how values play into the decision-making process of developers. We conducted five group design exercises with four developer participants each (N=20) who were asked to discuss and record their design considerations in a series of three hypothetical scenarios involving the design of a tool to predict progression to diabetes. In each group, the scenario was first presented as a research project, then as development of a clinical tool for a health care system, and finally as development of a clinical tool for their own health care system. Throughout, developers documented their process considerations using a virtual collaborative whiteboard platform. Our results suggest that developers more often considered client or user perspectives after changing the context of the scenario from research to a tool for a large healthcare setting. Furthermore, developers were more likely to express concerns arising from the patient perspective and societal and ethical issues such as protection of privacy after imagining themselves as patients in the health care system. Qualitative and quantitative data analysis also revealed that developers made reflective/reflexive statements more often in the third round of the design activity (44 times) than in the first (2) or second (6) rounds. These statements included statements on how the activity connected to their real-life work, what they could take away from the exercises and integrate into actual practice, and commentary on being patients within a health care system using AI. These findings suggest that ML developers can be encouraged to link the consequences of their actions to design choices by encouraging “empathy work” that directs them to take perspectives of specific stakeholder groups. This research could inform the creation of educational resources and exercises for developers to better align daily practices with stakeholder values and ethical ML design.
Ifeoma Okoye MBBS, FWACS, FMCR
Professor of Radiology and Director
University of Nigeria Centre for Clinical Trials
College of Medicine, University of Nigeria
Title: Deepening Collaboration with Stanford & Pennsylvania, Toward Developing Joint Strategies to Close the ‘Cancer Care’ & ‘Clinical Trial Volume’ Gap in LMICs
Abstract
In this seminar I will be addressing the dire cancer survival outcomes in low- and middle-income countries (LMICs), with a particular focus on Sub-Saharan Africa. Cancer survival rates in Sub-Saharan Africa are alarmingly low. According to the World Health Organization, cancer deaths in LMICs account for approximately 70% of global cancer fatalities. In Nigeria, the five-year survival rate for breast cancer, one of the most common cancers, stands at a disheartening 10-30%, compared to over 80% in high-income countries. This stark disparity highlights the urgent need for sustained comprehensive cancer interventions in our region.
Here, I will discuss the pivotal role in the cancer control sphere, of a new software, ONCOSEEK, capable of early detecting 11 types of Cancers! It’s particular emphasis on the Patient Perspective, which aligns with our ethos of need for holistic patient care. In addition I will discuss recent developments on collaborative effort with the Gevaert lab at Stanford University and the University of Pennsylvania.